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--- seminars:stat:210325 [2021/03/17 13:04] – created qyu
+++ seminars:stat:210325 [2021/03/17 13:05] (current) – qyu
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, March 25, 2021 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|Zoom meeting |
+^  **SPEAKER:**|Xiaoke Qin, Binghamton  University |
+^  **TITLE:**|Zero-inflated generalized Dirichlet multinomial regression model for microbiome compositional data analysis  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+There is hightened interest in quantifying abundances of microbial taxa
+and linking it to human diseases and traits. In the paper 'Zero-inflated
+generalized Dirichlet multinomial regression model for microbiome
+compositional data analysis', the authors, Zheng-Zheng Tang and Guanhua
+Chen, propose the new zero-inflated generalized Dirichlet
+multinomial(ZIGDM) distribution in order to model multivariate taxon
+counts. The exiting models are limited in handling excessive zero
+observations and flexibly accommodating complex correlation structures
+among taxa. Based on ZIGDM distribution, they propose a ZIGDM regression
+model to overcome these limitations and link microbial abundances to
+covariates.
+</WRAP>